Senior Integration Architect
Orbis Operations LLC · United States · 2026-10-16
About this role
Company Overview
Orbis is a technology company that delivers sovereign intelligence and decision capabilities to the United States Government and its allies. We convert complex information and operational systems into decisive outcomes, giving public institutions and critical enterprises the tools to move faster, see clearer, and act first in an increasingly contested world.
We are not a consulting firm and not a systems integrator. Every Orbis team is built around practitioners who have operated at the mission edge, and every engagement is judged on one thing: whether it produces working capability, not slide decks. Solutions forged from experience; that is how we build, and it is how we hire.
Job Summary
Orbis is seeking a Senior Integration Architect to lead integration delivery within one of three rotating integration teams supporting an ongoing program for a government client in the Middle East. In this role, you will design, build, deploy, and validate data integrations (sensors, C2 systems, and operational feeds) across Orbis data governance and data analysis products, driving assignments from requirement through production deployment in close coordination with your team.
A critical part of this role is working directly with customer engineering and operations teams to map their network topology, data sources, and system dependencies before integration work begins; this discovery is not a preliminary step that gets handed off, it is a continuous responsibility that drives every design and deployment decision. You will mentor Integration Engineers on your team, serve as the first escalation point for technical issues, and maintain integration quality across your assigned domain. This role carries direct responsibility for the orchestration and management of both on-premises data platform environments and cloud-connected infrastructure. Software-layer issues are escalated to the platform product team.
This is a hands-on engineering role for someone ready to shape how integration work gets done, raise the technical bar of the team around them, and ensure the platform infrastructure underpinning that work is properly configured, connected, and maintained.
Travel: This is a remote role with extended travel to the Middle East, including time spent in geopolitical hot zones up to 40% of the time. Please apply if you are willing to meet this requirement.
KEY RESPONSIBILITIES
• Lead full-lifecycle integration delivery for assigned data sources in coordination with your team: requirements analysis, connector design, implementation, testing, deployment, and validation in the target environment
• Lead customer technical discovery as a core responsibility: work directly with customer engineering and operations teams to map their network topology, data sources, system dependencies, and operational constraints; this understanding is the foundation that integration design and deployment decisions are built on and cannot be delegated or skipped
• Drive technical decisions when integrations don't fit established patterns; document decisions and rationale for the team and contribute to shared architectural standards
• Mentor Integration Engineers through code review, pairing, and direct feedback; serve as the first point of escalation before the team lead
• Design and build custom data connectors and integration plugins (producer bridges, operators, consumer bridges) for complex or undocumented source systems across air, land, maritime, air defense, space, and cyber domains
• Own the orchestration and management of on-premises data platform environments (cluster configuration, service health, data connectivity) and cloud-connected infrastructure (resource provisioning, hybrid connectivity, access controls) across the program's deployment surface
• Deploy and validate integrations across customer environments (cloud-native, on-premises, and tactical edge) using infrastructure orchestration tooling; ensure integrations work in theater, not just in dev
• Stand up and configure platform nodes and on-premises data platform components using established runbooks; validate cluster health, data platform connectivity, and configuration correctness post-deployment
• Diagnose and resolve cross-system integration failures under operational pressure; distinguish integration-layer issues from platform-layer issues and drive resolution with the team
• Triage platform issues: determine whether a problem is in the program's integration code or in the platform itself, and file high-quality bugs with reproductions when it's the latter; software-layer issues route to the platform product team
• Contribute reusable integration patterns, runbooks, and onboarding documentation to the program-wide integrator playbook; flag candidates for upstream contribution to the platform product team
• Provide clear, solution-oriented status updates to the team lead; frame problems with proposed approaches rather than open questions
• Support customer technical exchanges within your integration domain; explain integration approaches to customer engineering teams without requiring the team lead to translate
Required Qualifications
• 5-8 years of professional software engineering experience with a focus on system integrations, data pipelines, and distributed data platforms
• Proficiency in Go (preferred) or Python for integration development
• Demonstrated ability to drive an integration from requirement through production deployment as a team lead and technical decision-maker
• Hands-on experience with infrastructure-as-code and deployment tooling (e.g., Terraform, Ansible) to provision, configure, and validate platform environments
• Working knowledge of on-premises big data platforms and their operational characteristics (e.g., Hadoop, Spark, Hive, Presto); ability to configure, validate, and triage at the platform layer
• Experience deploying and integrating within cloud-native environments (e.g., GCP VPC,…
Skills asked for
- go
- python
- terraform
- ansible
- hadoop
- spark
- gcp
- bigquery
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